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Record W1542506767

High School Graduation Rates of Potential First Generation College Students: A Qualitative Case Study.

2011· article· en· W1542506767 on OpenAlexaboutno aff
Jacqueline Dansby, Gloria Dansby-Giles

Bibliographic record

VenueForum on public policy · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsGraduation (instrument)Quarter (Canadian coin)Statistics educationNinthPovertyDemographyEleventhDrop outMedical educationMedicinePsychologyMathematics educationPolitical scienceSociologyDemographic economicsGeographyMathematics
DOInot available

Abstract

fetched live from OpenAlex

Introduction In an era that emphasizes the need for students to become competitive in a global society as well as earn a college degree, high school graduation rates in the United States are troubling; the National Center for Education Statistics estimates that over a half million students have left school before graduation during each year over the past decade (McCallumore and Sparapani, 2010). Every school day, more than 7,200 students exit American public high schools without a diploma; the majority of dropouts are impoverished minorities who are likely to attend large, urban schools (Swanson, 2010). Children living in poverty tend to be concentrated in low-performing schools staffed by underprepared teachers (Murnane, 2007). It is estimated that more than a quarter of all students and over forty percent of Hispanic and African American students do not graduate from high school on time; the majority of students that fail to graduate with their peers are likely to dropout (Legters and Balfanz, 2010). A profile of 2008-09 dropouts in Baltimore schools shows that almost half (48.2%) of dropouts were ninth graders, 25.4% were in the tenth grade and remaining dropouts were nearly evenly divided between the eleventh and twelfth grades (MacIver, 2011). Almost three in four dropouts were seventeen years of age or older (MacIver, 2011). Most dropouts (79.2%) exceeded the normal age for their grade level (MacIver, 2011). Dropouts were more likely to be male (57%) than female (43%); female dropouts earned more credits (6.0) than their male counterparts (4.7) (MacIver, 2011). Disproportionately, dropouts were more likely to be in special education (29.3%) in comparison to the representation of special education students among all high school students (16.7%) or among graduates (11.2%) for the same school year (MacIver, 2011). Specifically, the nation's largest minority group, Latina/o students make up 23.1 percent of the population that is under 18 years of age (Johnson, 2011). In contrast, the dropout rate among Latina/o students in 2009 was 9.2 percent compared with 3.9 percent for whites and 6.6 percent for blacks, according to the Pew Hispanic Center (Johnson, 2011). A myriad of research studies forecast a dismal future for adolescent, African American males in public schools. Typically lagging behind their peers academically, African American males tend to be underrepresented in rigorous academic programs, e.g., advanced placement courses or activities for gifted and talented children, and more likely to be placed in programs for the learning disabled (Laura, 2011). With social and economic challenges posed by conditions of poverty that may be combined with a lack of discipline, inadequate schooling too frequently becomes a pipeline to privatized prisons for a disproportionate number of young African American males (Laura 2011). The impact of this graduation crisis disproportionately affects the nation's most vulnerable youth (Swanson, 2010). Students who leave school without a diploma pay a steep price for dropping out (Educational Testing Service, 2005; Orfield, 2004). The consequences of dropping out of high school has the potential to increase the likelihood that youth without a diploma may become entrapped in a permanent underclass including increased rates of unemployment, lower wages and greater rates of incarceration (The Education Trust, 2005). While there are some exceptions and not every dropout faces a bleak future, the disadvantages, however, are substantial in a nation whereby the lack of a high school diploma can prevent entry into many highly skilled jobs and white collar professions (Menzer and Hampel, 2009). Our society also pays a high price when youth do not graduate through higher crime rates, increased need for public assistance, fewer tax dollars, and lower participation in voting (Menzer and Hampel, 2009). According to a study from Editorial Projects in Education Research Center, Diplomas Count, the United States is showing gradual signs of increasing graduation rates for 2008 after two decades of decline; however, persistent gaps in graduation rates exist for students from minority backgrounds in comparison with their more advantaged counterparts (Swanson, 2011). …

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0150.006
Scholarly communication0.0050.004
Open science0.0030.008
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.096
GPT teacher head0.407
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2011
Admission routes1
Has abstractyes

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